In particular, we show that a nonstandard approach we call "left-right" dynamic programming is better suited for this problem than the standard "bottom-up" approach, and we show how this "left-right" ...

Research from all publishers Recent studies have made significant strides in applying optimised machine learning methods and physics-informed frameworks for dynamic load identification.

We consider the scheduling problem in which jobs with release dates and delivery times are to be scheduled on one machine. We present a 4/3-approximation algorithm for the problem with precedence ...

A method has been developed to infer whether the expression of each gene in a single cell is increasing or decreasing, and at what rate, using RNA-sequencing data. This tool has many potential ...